SEO platforms are leaning into this shift by emphasizing mobile-specific analytics. What desktop and mobile show you for the same search results is now different. Mobile results will often pull key information into mobile-optimized "rich cards," while on desktop you'll see snippets. SEMrush splits its desktop and mobile indexes, actually providing thumbnails of each page of search results depending on the device, and other vendors including Moz are beginning to do the same.
QUOTE: “Anytime you do a bigger change on your website if you redirect a lot of URLs or if you go from one domain to another or if you change your site’s structure then all of that does take time for things to settle down so we can follow that pretty quickly we can definitely forward the signals there but that doesn’t mean that’ll happen from one day to next” John Mueller, Google 2016
Everything for Google these days comes down to “Customer Experience”. Page speeds, table of content, the relevancy of content, length of content, uniqueness of content, jump links, video in the content, relevant headers, less broken links, customized 404 pages etc are all indicative of improving customer experience on th website and hence helps you rank better.
All of this plays into a new way businesses and SEO professionals need to think when approaching what keywords to target and what SERP positions to chase. The enterprise SEO platforms are beginning to do this, but the next step in SEO is full-blown content recommendation engines and predictive analytics. By using all of the data you pull from your various SEO tools, Google Search Console, and keyword and trend data from social listening platforms, you can optimize for a given keyword or query before Google does it first. If your keyword research uncovers a high-value keyword or SERP for which Google has not yet monetized the page with a Quick Answer or a Featured Snippet, then pounce on that opportunity.
Google knows who links to you, the “quality” of those links, and whom you link to. These – and other factors – help ultimately determine where a page on your site ranks. To make it more confusing – the page that ranks on your site might not be the page you want to rank, or even the page that determines your rankings for this term. Once Google has worked out your domain authority – sometimes it seems that the most relevant page on your site Google HAS NO ISSUE with will rank.
To avoid undesirable content in the search indexes, webmasters can instruct spiders not to crawl certain files or directories through the standard robots.txt file in the root directory of the domain. Additionally, a page can be explicitly excluded from a search engine's database by using a meta tag specific to robots (usually ). When a search engine visits a site, the robots.txt located in the root directory is the first file crawled. The robots.txt file is then parsed and will instruct the robot as to which pages are not to be crawled. As a search engine crawler may keep a cached copy of this file, it may on occasion crawl pages a webmaster does not wish crawled. Pages typically prevented from being crawled include login specific pages such as shopping carts and user-specific content such as search results from internal searches. In March 2007, Google warned webmasters that they should prevent indexing of internal search results because those pages are considered search spam.
Onsite, consider linking to your other pages by linking to pages within main content text. I usually only do this when it is relevant – often, I’ll link to relevant pages when the keyword is in the title elements of both pages. I don’t go in for auto-generating links at all. Google has penalised sites for using particular auto link plugins, for instance, so I avoid them.
Hi Noya, all the info suggests that dwell time IS taken into account in search ranking, and we know that Google measures time on page and bounce rate in Analytics, too. Plus the search engine gets smarter all the time. With the machine learning component of RankBrain, we wouldn’t be surprised if Google can tell the difference between sites where visitors stick around, bounces where the visitor gets an answer immediately, and bounces where the visitor keeps searching.